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Articles on Trending Technologies
Technical articles with clear explanations and examples
How to convert values greater than a threshold into 1 in R data frame column?
To convert values greater than a threshold into 1 in R data frame column, we can follow the below steps −First of all, create a data frame.Then, use ifelse function to convert values greater than a threshold into 1.ExampleCreate the data frameLet’s create a data frame as shown below −x
Read MoreHow to subset R data frame rows if at least one or more values matches?
To subset R data frame rows if at least one or more values matches, we can follow the below steps −First of all, create a data frame.Then, use rowSums function along with sapply function and values for match to subset the data frame rows if at least one or more values matches.ExampleCreate the data frameLet’s create a data frame as shown below −x
Read MoreHow to repeat column values in R data frame by values in another column?
To repeat column values in R data frame by values in another column, we can follow the below steps −First of all, create a data frame.Then, use rep function along with cbind function to repeat column values in the matrix by values in another column.ExampleCreate the data frameLet’s create a data frame as shown below −x
Read MoreHow to standardize selected columns in R data frame?
To standardize selected columns in R data frame, we can follow the below steps −First of all, create a data frame.Then, use scale function with subsetting to standardize selected columns.ExampleCreate the data frameLet’s create a data frame as shown below −v1
Read MoreHow to convert a data frame into two column data frame with values and column name as variable in R?
To convert a data frame into two column data frame with values and column name as variable in R, we can follow the below steps −First of all, create a data frame.Then, use stack function to convert data frame.ExampleCreate the data frameLet’s create a data frame as shown below −x
Read MoreHow to extract number from string if string is in different format than normal in R data frame?
To extract number from string if string is in different format than normal in R data frame, we can follow the below steps −First of all, create a data frame.Then, use gsub function along with as.numeric function to extract the number.ExampleCreate the data frameLet’s create a data frame as shown below −x
Read MoreHow to extract number from string in R data frame?
To extract number from string in R data frame, we can follow the below steps −First of all, create a data frame.Then, use gsub function to extract number from string.ExampleCreate the data frameLet’s create a data frame as shown below −x
Read MoreHow to remove repeated numbers in sequence in R data frame column?
To remove repeated numbers in sequence in R data frame column, we can follow the below steps −First of all, create a data frame.Then, use diff function and subsetting with single square brackets to remove repeated numbers in sequence.Example 1Create the data frameLet’s create a data frame as shown below −x
Read MoreHow to split a factor variable into n number of variables equal to factor size with full length in R data frame?
To split a factor variable into n number of variables equal to factor size with full length in R data frame, we can follow the below steps −First of all, create a data frame.Then, use mtabulate function of qdapTools package to split the factor variable.ExampleCreate the data frameLet’s create a data frame as shown below −factor
Read MoreHow to find the column means by factor levels in R?
To find the column means by factor levels, we can use summarise function along with mean function after creating the group of factor levels with group_by function.For example, if we have a data frame called df that contains a factor column say F and a numerical column say Num then we can find the mean of Num column by factor levels by using the below given command −df%>%group_by(F)%>%summarise(Average=mean(Num))Example 1Following snippet creates a sample data frame −grp
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